面向社区风险防范的大数据平台理论架构设计

Abstract

社区是公共安全治理的基本单元,社区安全研究意义重大。该文面向社区风险防范的重大需求,首先,从人、物及管理3个角度厘清社区风险的来源,剖析社区风险的特性及原因;然后,阐述社区风险防范的内涵,提出监测监控、预测预警和智能防范是社区风险防范的关键技术,在综合分析当前风险防范研究现状及发展趋势的基础上,指出大数据平台是社区风险防范的基础支撑;最后,分别从功能、结构及构建流程3个层面展开面向社区风险防范大数据平台的理论架构设计。为社区风险防范及大数据平台的基础理论研究大数据平台搭建及风险防范提供理论和技术支撑。

Since communities are the basic units for public safety management,community risk prevention is of great significance.Community risk prevention must first identify community risks for people, things and management. This study analyzed the characteristics and causes of community risk to identify community risk prevention methods and how to monitor,control,predict,quickly detect and prevent community risk.Current international development trends for community risk prevention are reviewed to show that big data platforms are the key technology for community risk prevention.Finally,this paper describes the function,structure and construction of a large data platform for community risk prevention.This research on community risk prevention and big data platforms provides theoretical and technical support for community safety and security.